本文整理汇总了Python中object_detection.core.preprocessor.convert_class_logits_to_softmax方法的典型用法代码示例。如果您正苦于以下问题：Python preprocessor.convert_class_logits_to_softmax方法的具体用法？Python preprocessor.convert_class_logits_to_softmax怎么用？Python preprocessor.convert_class_logits_to_softmax使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类object_detection.core.preprocessor的用法示例。
在下文中一共展示了preprocessor.convert_class_logits_to_softmax方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testConvertClassLogitsToSoftmax
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 别名]
def testConvertClassLogitsToSoftmax(self):
multiclass_scores = tf.constant(
[[1.0, 0.0], [0.5, 0.5], [1000, 1]], dtype=tf.float32)
temperature = 2.0
converted_multiclass_scores = (
preprocessor.convert_class_logits_to_softmax(
multiclass_scores=multiclass_scores, temperature=temperature))
expected_converted_multiclass_scores = [[[0.62245935, 0.37754068],
[0.5, 0.5], [1, 0]]]
with self.test_session() as sess:
(converted_multiclass_scores_) = sess.run([converted_multiclass_scores])
self.assertAllClose(converted_multiclass_scores_,
expected_converted_multiclass_scores) 示例2: testConvertClassLogitsToSoftmax
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 别名]
def testConvertClassLogitsToSoftmax(self):
def graph_fn():
multiclass_scores = tf.constant(
[[1.0, 0.0], [0.5, 0.5], [1000, 1]], dtype=tf.float32)
temperature = 2.0
converted_multiclass_scores = (
preprocessor.convert_class_logits_to_softmax(
multiclass_scores=multiclass_scores, temperature=temperature))
return converted_multiclass_scores
converted_multiclass_scores_ = self.execute_cpu(graph_fn, [])
expected_converted_multiclass_scores = [[0.62245935, 0.37754068],
[0.5, 0.5],
[1, 0]]
self.assertAllClose(converted_multiclass_scores_,
expected_converted_multiclass_scores) 示例3: test_build_normalize_image_convert_class_logits_to_softmax
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import convert_class_logits_to_softmax [as 别名]
def test_build_normalize_image_convert_class_logits_to_softmax(self):
preprocessor_text_proto = """
convert_class_logits_to_softmax {
temperature: 2
}
"""
preprocessor_proto = preprocessor_pb2.PreprocessingStep()
text_format.Merge(preprocessor_text_proto, preprocessor_proto)
function, args = preprocessor_builder.build(preprocessor_proto)
self.assertEqual(function, preprocessor.convert_class_logits_to_softmax)
self.assertEqual(args, {'temperature': 2})